Akademik Dersler - İçerik

Will be able to apply nonparametric test processes in circular data.
Associates circular non-parametric tests with known nonparametric tests.
Formulates and analyzes one-sample, two-sample and multi-sample tests.
Applies the non-parametric goodness of fit test.
Will be able to define circular correlation measures and regression models.
Relates the linear correlation measures with the circular correlation measures.
Formulates and calculates circular correlation measures.
Creates Circular-Circular and Circular-Linear regression models.
Expresses two-variable models and circular time series.
Applies the mean direction and the concentration parameter tests.
Will be able to explain the fundamental features of spherical data.
Defines the spherical data and calculates its descriptive measures.
Recognizes the models of spherical data.
Examines some inferences for spherical data.
Will be able to evaluate modern methodology in circular data analysis.
Tests outliers in circular data.
Recognizes Robust and Bootstrap methods.
Applies the methods of shape analysis.